% behaviour incidents cumulative % pupils Concentration of behaviour incidents: Percentage of pupils accounting for percentage of incidents 0.15% of pupils.

Slides:



Advertisements
Similar presentations
© Eden Education Ltd SUSSEX SECONDARY MENTOR CONFERENCE The University of Sussex 22 June 2012 Heather Leatt Ofsted Inspector School Improvement Adviser.
Advertisements

Sue Rogers Director of Education KGA Presentation GCSE and Post 16 plus Closing the Gap.
What can we learn from the international PISA study about improving reading at age 15? February 2011.
School Report Cards 2004– The Bottom Line More schools are making Adequate Yearly Progress. Fewer students show serious academic problems (Level.
Effective Teaching Methods in 82 Primary Schools Evidence from the EPPSE project.
Progression at Pupil, School and National Levels Workshop 14 DCSF Conference: The Use of Evidence in Policy Development and Delivery 9th February 2010.
Explaining Race Differences in Student Behavior: The Relative Contribution of Student, Peer, and School Characteristics Clara G. Muschkin* and Audrey N.
Ethnicity and achievement Learning objective: To revise the area of ethnicity and attainment in Education.
Exploring the impact of involvement in NCSL activity on school improvement Pam Sammons and Qing Gu University of Nottingham School of Education University.
The Performance of Vulnerable Learners Somerset Schools Forum 20 May 2014 Agenda Item 5b Nicola Turner.
School Report Cards For 2003–2004
Neil Harrison Senior Research Fellow Bristol Centre for Research in Lifelong Learning and Education (BRILLE) University of the West of England.
Raising Boys Achievement In Writing By Anna McAlister Sladefield Infant School  We are a 4 form entry infant school.  76% have Pakistani backgrounds.
Compact Termly Primary Headteacher Briefing November 2012 Headline Performance Data 2012.
Key Stage Analysis and Trends (provisional data)
What influences English and Mathematics attainment at age 11? Evidence from the EPPSE project.
“Teaching is good overall…” Ofsted 2013 It is not yet an outstanding school because: Although teaching is at least good, not enough is outstanding. The.
Al Ramirez Dick M. Carpenter II University of Colorado, Colorado Springs The Under-Achievement Gap: What It Is and Why You Should Care.
What’s new in the Child Poverty Unit – Research and Measurement Team Research and Measurement Team Child Poverty Unit.
Primaries Strategy Meeting Why are we here? A chance for us to look together at: – what the real pressing needs are over the next year – To start to create.
© TNTP 2013 ACE Observer Training Vasquez For observers new to TNTP and the ACE Instructional Framework.
Leading from the front – the role of English in developing literacy across the school 20 March 2015 Lesley Daniel Associate inspector.
Key Characteristics of Effective Schools
Removing barriers to literacy. Key issue addressed by the study  The study set out to identify factors associated with raising attainment in literacy.
An Inspector Called: Key findings from Ofsted English Review 2009 “English at the Crossroads”: Ofsted 2009.
North East education - The State of the Region. North East education… not quite the big picture.
Growing Up In Ireland Research Conference The Education of 9-Year-Olds.
Is Small Better? The Effect of Class Size on Pupil Performance and Teaching Quality Maurice Galton Faculty of Education, University of Cambridge UK Presentation.
Understanding Students with AD/HD. Defining AD/HD The condition most adversely impact the student’s academic performance to receive services Students.
Does Formative Feedback Help or Hinder Students? An Empirical Investigation 2015 DEE Conference Carlos Cortinhas, University of Exeter.
EAL Pupils and Assessment Without Levels
STUDENT LEARNING IMPACT PROJECT: Reading for Meaning Kelly Johnson Cedar Ridge Elementary School April 19, 2007.
Father involvement in family life: The many faces of 21st century British fathers Margaret O’Brien & Eloise Poole Svetlana Speight, Sara Connolly & Matthew.
OFSTED: Parents’ meeting WHAT THE INSPECTORS DIDN’T TELL YOU… OFSTED Inspection 21st-22nd February 2013.
Educational Standards Cabinet January Early Years Performance  The percentage of pupils achieving the target expectations in the Early Years Foundation.
Dani Sive Judith Evans Frank Barnes School Sign Bilingual Consortium 17 th June 2013.
June  Having a positive attitude to learning  Pupils respond very quickly to staff’s requests, allowing lessons to flow smoothly and without interruption.
Inclusion: Effective Practices for All Students, 1e McLeskey/Rosenberg/Westling © 2010 Pearson Education, Inc. All Rights Reserved. 5-1 ADHD.
Additional analysis of poverty in Scotland 2013/14 Communities Analytical Services July 2015.
Language Trends 2007 Coping with change Prepared originally for use by Duncan Byrne, ISMLA Linda Parker, ALL Teresa Tinsley, CILT Languages Show, November.
Primary and Special School Headteachers’ Briefing 19 March 2014 CHILDREN’S & ADULTS’ SERVICES.
Widening Participation in Higher Education: A Quantitative Analysis Institute of Education Institute for Fiscal Studies Centre for Economic Performance.
CLOSING THE GAPS – REDUCING INEQUALITIES IN OUTCOMES FOR CHILDREN AND YOUNG PEOPLE BIRMINGHAM ACHIEVEMENT GROUP SEMINAR DECEMBER 2008 JOHN HILL RESEARCH.
Inclusion Pathway Small Scale Investigation What strategies can be used to close the gap in educational achievement for children living in poverty, in.
Manor School Progress Tracking Contents Introduction3 Summary of Findings Free School Meal Progression5 Gender Progression6 Special.
© Foster & Brown Research 2015 AGW CPD Network & Training Event Public Health Intelligence South Gloucestershire Online Pupil Survey 2015 Summary Results.
DfE Statistical First Release – 23 Oct 2014 The DfE published the ‘Statistical First Release’ of the 2014 results at the end of last month. You can follow.
WHITE WORKING CLASS ACHIEVEMENT Dean Jackson, Assistant Director, Education Hartlepool Borough Council.
© 2010 Pearson Education, Inc. All Rights Reserved. 1  Describe major characteristics of students with learning disabilities.  Explain key issues and.
Review of Special Education in the Commonwealth of Massachusetts: Findings and Recommendations Dr. Thomas Hehir Silvana and Christopher Pascucci Professor.
Changes to assessment and reporting of children’s attainment A guide for Parents and Carers Please use the SPACE bar to move this slideshow at your own.
RAISEonline Data Analysis for Governors and Staff Beaver Road Primary School Clive Davies OBE Beaver Road (c)
Quality First Teaching for All. Quality First Teaching for ALL The most effective way to narrow the gaps! A Top Priority for Schools! Context and Background.
Bad Boys and Good Girls? Patterns of Interaction and Response in Whole Class Teaching Myhill, Debra. (2002) Bad Boys and Good Girls? Patterns of Interaction.
Rationale for Inclusion Legal Mandates Head Start Individuals with Disabilities Education Act Americans with Disabilities Act Benefits for children with.
Promoting good practice in tackling poverty and disadvantage INSET materials for secondary schools.
School Quality Assurance Systems in the UK Kate Evans, Inspector: Inclusion, London Borough Sutton.
Pupils’ Perceptions as they end KS3 Mathematics Sheila Smyth.
ENGLISH AS AN ADDITIONAL LANGUAGE LEARNERS AT SECONDARY SCHOOL INVOLVING PARENTS.
ACCESS for ELLs Score Changes
Attainment, progress and context by disadvantage / pupil premium
The Village School Assessment Analysis
OfSTED Inspection 7th and 8th December 2016 Feedback to Parents
Governors’ Update RaiseOnline & Fischer Family Trust
What do the data and research really tell us?
RAISEonline Data Analysis for Governors and Staff
Apprenticeships for Young People in England. Is there a payoff?
SM Disadvantaged pupils are not routinely getting the extra help they need in lessons to accelerate their progress. Wide variations remain in the levels.
Understanding the under-attainment of ethnic minority students in UK higher education: The known knowns and the known unknowns John Richardson.
Follow-up on Data Requests from Board of Education April 2018 Retreat
Presentation transcript:

% behaviour incidents cumulative % pupils Concentration of behaviour incidents: Percentage of pupils accounting for percentage of incidents 0.15% of pupils explain 1% of incidents 0.39% of pupils explain 5% of incidents 0.91% of pupils explain 10% of incidents 2.89% of pupils explain 25% of incidents 7.86% of pupils account for 50% of incidents 17.57% of pupils explain 75% of incidents 31.51% of pupils explain 90% of incidents 41.23% of pupils explain 95% of incidents 58.1% of pupils explain 99% of incidents 32.79% of pupils have no incidents at all N pupils = 3284 N incidents = 44, % of pupils account for all incidents Behaviour in Secondary Schools Amy Challen Centre for Economic Performance, London School of Economics Press reports paint a bleak picture of behaviour in secondary schools in England. They suggest that disruptive and insolent behaviour is common; that a large number of pupils are badly behaved; and that violent incidents occur frequently. They also claim that behaviour is worse than it used to be, and that parents are to blame. Are these assertions true? I use data from the behaviour incident databases of four typical English comprehensive schools to look at behaviour patterns. The data covers 3,284 pupils in four schools over 2-6 academic years. Behaviour in Secondary Schools Amy Challen Centre for Economic Performance, London School of Economics Press reports paint a bleak picture of behaviour in secondary schools in England. They suggest that disruptive and insolent behaviour is common; that a large number of pupils are badly behaved; and that violent incidents occur frequently. They also claim that behaviour is worse than it used to be, and that parents are to blame. Are these assertions true? I use data from the behaviour incident databases of four typical English comprehensive schools to look at behaviour patterns. The data covers 3,284 pupils in four schools over 2-6 academic years. (8) Conclusions Many media reports probably exaggerate the severity of behaviour in schools, focusing on violent incidents which are in fact relatively rare. However, low-level disruption is common. It is also not true that most pupils are regularly unruly: most pupils are well behaved most of the time, and one third are never involved in incidents. These findings are in line with reports by the Department for Education and Ofsted (DfE, 2012; Ofsted, 2005). Nevertheless, there is a high degree of concentration in incidents, with 10% of pupils accounting for more than half of all incidents: these pupils clearly have problematic behaviour. Pupils’ behaviour is persistent through time, and pupils who frequently misbehave do so with many different teachers, suggesting that behaviour problems are not context specific. Demographic characteristics are good predictors for behaviour, but do not tell the full story: they do not explain that much of the variation in behaviour, and there is substantial heterogeneity in behaviour within demographic groups. Segal (2008) obtains very similar results with a detailed dataset from American high schools. Thus although we cannot say whether parents are ‘to blame’ for their children’s behaviour, a pupil’s demographic background is a strong predictor of the likelihood that they will behave well or badly. Interestingly, rates of misbehaviour vary through the day and week – schools could take this into account when scheduling to minimise disruption in key lessons. My data panel only lasts up to 6 years, so I cannot say whether poor behaviour has become more frequent or more severe over the past few decades. However, it would appear that bad pupil behaviour is at least nothing new… (8) Conclusions Many media reports probably exaggerate the severity of behaviour in schools, focusing on violent incidents which are in fact relatively rare. However, low-level disruption is common. It is also not true that most pupils are regularly unruly: most pupils are well behaved most of the time, and one third are never involved in incidents. These findings are in line with reports by the Department for Education and Ofsted (DfE, 2012; Ofsted, 2005). Nevertheless, there is a high degree of concentration in incidents, with 10% of pupils accounting for more than half of all incidents: these pupils clearly have problematic behaviour. Pupils’ behaviour is persistent through time, and pupils who frequently misbehave do so with many different teachers, suggesting that behaviour problems are not context specific. Demographic characteristics are good predictors for behaviour, but do not tell the full story: they do not explain that much of the variation in behaviour, and there is substantial heterogeneity in behaviour within demographic groups. Segal (2008) obtains very similar results with a detailed dataset from American high schools. Thus although we cannot say whether parents are ‘to blame’ for their children’s behaviour, a pupil’s demographic background is a strong predictor of the likelihood that they will behave well or badly. Interestingly, rates of misbehaviour vary through the day and week – schools could take this into account when scheduling to minimise disruption in key lessons. My data panel only lasts up to 6 years, so I cannot say whether poor behaviour has become more frequent or more severe over the past few decades. However, it would appear that bad pupil behaviour is at least nothing new… (1) Pupils and incidents Poor behaviour is highly concentrated among a small number of pupils. 7.86% of pupils are responsible for half of all behaviour incidents, while one third of pupils have no behaviour incidents at all. The remainder are somewhere in the middle, with occasional misbehaviour. Incidents per pupil and number of teachers involved (4) Consistency of pupils’ behaviour Is poor behaviour usually the result of a bad pupil-teacher combination, or do pupils with many behaviour incidents behave badly with many different teachers? It appears that pupils with more incidents also misbehaved with more teachers, with a ratio of about one new teacher to every two more incidents. This suggests that poor behaviour is not context specific. (5) Pupil characteristics 10% of pupils are responsible for over half of all behaviour incidents. What are the characteristics of these pupils? Here I compare the 10% of pupils responsible for most incidents, with the other 90% of their peers at these schools. Pupils with poor behaviour are significantly more likely to be boys; to have special educational needs; to be eligible for free school meals; to be from a white ethnic background; to live with only one or neither of their parents; and to have failed to achieve the national standards in English and maths in national tests at age 11 (level 4 at Key Stage 2). However, there is still heterogeneity, and no variable is a perfect predictor of behaviour – for instance, although boys are more likely to have poor behaviour, 29.3% of the worst behaved pupils are girls. Overall, demographic characteristics are strongly associated with the likelihood of a pupil having very poor behaviour, but the relationship is not deterministic and there are many pupils who buck the trend. (5) Pupil characteristics 10% of pupils are responsible for over half of all behaviour incidents. What are the characteristics of these pupils? Here I compare the 10% of pupils responsible for most incidents, with the other 90% of their peers at these schools. Pupils with poor behaviour are significantly more likely to be boys; to have special educational needs; to be eligible for free school meals; to be from a white ethnic background; to live with only one or neither of their parents; and to have failed to achieve the national standards in English and maths in national tests at age 11 (level 4 at Key Stage 2). However, there is still heterogeneity, and no variable is a perfect predictor of behaviour – for instance, although boys are more likely to have poor behaviour, 29.3% of the worst behaved pupils are girls. Overall, demographic characteristics are strongly associated with the likelihood of a pupil having very poor behaviour, but the relationship is not deterministic and there are many pupils who buck the trend. Refs/acknowledgements Content based on “Behaviour and scheduling in English secondary schools”, Amy Challen, unpublished manuscript January 2013 Additional data from the National Pupil Database DfE. (2012). Pupil behaviour in schools in England DfE Research Reports. London: Department for Education. Ofsted. (2005). Managing challenging behaviour HMI 2363 Segal, C. (2008). Classroom Behavior. Journal of Human Resources, 43(4), 783– 814. Historic newspaper citations from the British Newspaper Archive: Blackboard image: PSD/10951.jpg Stationery clip art: tationary/index.php Refs/acknowledgements Content based on “Behaviour and scheduling in English secondary schools”, Amy Challen, unpublished manuscript January 2013 Additional data from the National Pupil Database DfE. (2012). Pupil behaviour in schools in England DfE Research Reports. London: Department for Education. Ofsted. (2005). Managing challenging behaviour HMI 2363 Segal, C. (2008). Classroom Behavior. Journal of Human Resources, 43(4), 783– 814. Historic newspaper citations from the British Newspaper Archive: Blackboard image: PSD/10951.jpg Stationery clip art: tationary/index.php